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Natural language generation (NLG) is a software process that produces natural language output. A widely-cited survey of NLG methods describes NLG as "the subfield of artificial intelligence and computational linguistics that is concerned with the construction of computer systems that can produce understandable texts in English or other human languages from some underlying non-linguistic ...
Definition of an ontology – taxonomy – of concepts needed to describe tasks in the topic addressed. Each concept and all their attributes are defined in natural-language words. This ontology will define the data structures the NLP can use in sentences. Definition of one or more top-level sentences in terms of concepts from the ontology.
Generative language models are not trained on the translation task, let alone on a parallel dataset. Instead, they are trained on a language modeling objective, such as predicting the next word in a sequence drawn from a large dataset of text. This dataset can contain documents in many languages, but is in practice dominated by English text. [36]
The in-text cite may be defined with a name so they can be reused within the content and may be separated into groups for use as explanatory notes, table legends and the like. The reference list shows the full citations with a cite label that matches the in-text cite. The cite label is a caret ^ with a backlink to the in-text cite. When a named ...
Realization is also a subtask of natural language generation, which involves creating an actual text in a human language (English, French, etc.) from a syntactic representation. There are a number of software packages available for realization, most of which have been developed by academic research groups in NLG.
As we noted above, a citation is a ticket; these are the same things. They can be divided into two categories: moving violations and non-moving violations. These are some of the more common types ...
Once upon a time, four letters were commonly used to describe the queer community as a whole: "L" for lesbian, "G" for gay, "B" for bisexual and "T" for trans, creating an acronym: LGBT.
In-text attribution is the attribution inside a sentence of material to its source, in addition to an inline citation after the sentence. In-text attribution may need to be used with direct speech (a source's words between quotation marks or as a block quotation); indirect speech (a source's words modified without quotation marks); and close ...